FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme: Tasarim ve Gerçekleme

Canberk Tatli; Egemen Denizeri; Deniz Kumlu; Isin Erer; Berna Ors Yalcin; Furkan Isik

doi:10.1109/SIU55565.2022.9864706

FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme: Tasarim ve Gerçekleme

Translated title of the contribution: Clutter Removal for Ground Penetrating Radars on FPGA: Design and Implementation

Canberk Tatli, Egemen Denizeri, Deniz Kumlu, Isin Erer, Berna Ors Yalcin, Furkan Isik

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The clutter encountered in Ground Penetrating Radar(GPR) systems is an important area of research since it decreases target detection rates. Real-time radar applications and hardware implementation of clutter removal methods in autonomous systems are crucial. In this study, robust non-negative matrix factorization (RNMF) is used, which requires simple mathematical operations and suitable for hardware implementations. FPGA was chosen as the hardware implementation environment due to its re-programmable feature. It has been shown that the hardware implementation results have the same performance as the clutter removal results obtained in the MATLAB environment.

Translated title of the contribution	Clutter Removal for Ground Penetrating Radars on FPGA: Design and Implementation
Original language	Turkish
Title of host publication	2022 30th Signal Processing and Communications Applications Conference, SIU 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665450928
DOIs	https://doi.org/10.1109/SIU55565.2022.9864706
Publication status	Published - 2022
Event	30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Turkey Duration: 15 May 2022 → 18 May 2022

Publication series

Name	2022 30th Signal Processing and Communications Applications Conference, SIU 2022

Conference

Conference	30th Signal Processing and Communications Applications Conference, SIU 2022
Country/Territory	Turkey
City	Safranbolu
Period	15/05/22 → 18/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Access to Document

10.1109/SIU55565.2022.9864706

Cite this

Tatli, C., Denizeri, E., Kumlu, D., Erer, I., Yalcin, B. O., & Isik, F. (2022). FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme: Tasarim ve Gerçekleme. In 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 (2022 30th Signal Processing and Communications Applications Conference, SIU 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU55565.2022.9864706

Tatli, Canberk ; Denizeri, Egemen ; Kumlu, Deniz et al. / FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme : Tasarim ve Gerçekleme. 2022 30th Signal Processing and Communications Applications Conference, SIU 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 30th Signal Processing and Communications Applications Conference, SIU 2022).

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title = "FPGA {\"U}zerinde Yere N{\"u}fuz Eden Radarlar i{\c c}in Karga{\c s}a Giderme: Tasarim ve Ger{\c c}ekleme",

abstract = "The clutter encountered in Ground Penetrating Radar(GPR) systems is an important area of research since it decreases target detection rates. Real-time radar applications and hardware implementation of clutter removal methods in autonomous systems are crucial. In this study, robust non-negative matrix factorization (RNMF) is used, which requires simple mathematical operations and suitable for hardware implementations. FPGA was chosen as the hardware implementation environment due to its re-programmable feature. It has been shown that the hardware implementation results have the same performance as the clutter removal results obtained in the MATLAB environment.",

keywords = "FPGA implementation, clutter removal, ground penetrating radar, robust non-negative matrix factorization",

author = "Canberk Tatli and Egemen Denizeri and Deniz Kumlu and Isin Erer and Yalcin, {Berna Ors} and Furkan Isik",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 30th Signal Processing and Communications Applications Conference, SIU 2022 ; Conference date: 15-05-2022 Through 18-05-2022",

year = "2022",

doi = "10.1109/SIU55565.2022.9864706",

language = "T{\"u}rk{\c c}e",

series = "2022 30th Signal Processing and Communications Applications Conference, SIU 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 30th Signal Processing and Communications Applications Conference, SIU 2022",

address = "United States",

}

Tatli, C, Denizeri, E, Kumlu, D, Erer, I, Yalcin, BO & Isik, F 2022, FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme: Tasarim ve Gerçekleme. in 2022 30th Signal Processing and Communications Applications Conference, SIU 2022. 2022 30th Signal Processing and Communications Applications Conference, SIU 2022, Institute of Electrical and Electronics Engineers Inc., 30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Turkey, 15/05/22. https://doi.org/10.1109/SIU55565.2022.9864706

FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme: Tasarim ve Gerçekleme. / Tatli, Canberk; Denizeri, Egemen; Kumlu, Deniz et al.
2022 30th Signal Processing and Communications Applications Conference, SIU 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 30th Signal Processing and Communications Applications Conference, SIU 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 30th Signal Processing and Communications Applications Conference, SIU 2022

AU - Tatli, Canberk

AU - Denizeri, Egemen

AU - Kumlu, Deniz

AU - Erer, Isin

AU - Yalcin, Berna Ors

AU - Isik, Furkan

PY - 2022

Y1 - 2022

N2 - The clutter encountered in Ground Penetrating Radar(GPR) systems is an important area of research since it decreases target detection rates. Real-time radar applications and hardware implementation of clutter removal methods in autonomous systems are crucial. In this study, robust non-negative matrix factorization (RNMF) is used, which requires simple mathematical operations and suitable for hardware implementations. FPGA was chosen as the hardware implementation environment due to its re-programmable feature. It has been shown that the hardware implementation results have the same performance as the clutter removal results obtained in the MATLAB environment.

AB - The clutter encountered in Ground Penetrating Radar(GPR) systems is an important area of research since it decreases target detection rates. Real-time radar applications and hardware implementation of clutter removal methods in autonomous systems are crucial. In this study, robust non-negative matrix factorization (RNMF) is used, which requires simple mathematical operations and suitable for hardware implementations. FPGA was chosen as the hardware implementation environment due to its re-programmable feature. It has been shown that the hardware implementation results have the same performance as the clutter removal results obtained in the MATLAB environment.

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KW - clutter removal

KW - ground penetrating radar

KW - robust non-negative matrix factorization

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M3 - Konferans katkısı

AN - SCOPUS:85138723171

T3 - 2022 30th Signal Processing and Communications Applications Conference, SIU 2022

BT - 2022 30th Signal Processing and Communications Applications Conference, SIU 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 15 May 2022 through 18 May 2022

ER -

Tatli C, Denizeri E, Kumlu D, Erer I, Yalcin BO, Isik F. FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme: Tasarim ve Gerçekleme. In 2022 30th Signal Processing and Communications Applications Conference, SIU 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 30th Signal Processing and Communications Applications Conference, SIU 2022). doi: 10.1109/SIU55565.2022.9864706

FPGA Üzerinde Yere Nüfuz Eden Radarlar için Kargaşa Giderme: Tasarim ve Gerçekleme

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